Real-time decision support system for carbon monoxide threat warning using online expert system

Suryono, Suryono; Surarso, Bayu; Saputra, Ragil; Sudalma, Sudalma

doi:10.5937/jaes17-17429

Cited by 14 publications

(6 citation statements)

References 28 publications

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“…The studies of various Russian and foreign researchers show that the theoretical prerequisites for regulating the dairy industry are based on the empirical data (Fadiawati et al, 2019;Suryono et al, 2019;Suieubayeva and Utegenova, 2020;Shebashev et al, 2019). Regulation should be aimed at increasing not only quantitative indicators, but also qualitative ones; therefore, it requires the coverage of the greatest possible number of parameters.…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Main trends of government regulation of sectoral digitalization

Glotko¹,

Polyakova²,

Kuznetsova³

et al. 2020

JESI

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This paper examines the principal trends of the government regulation of the milk-producing industry. It focuses on the rationale of those trends for improving the government regulation of dairy industry parameters and the development of effective methods for their implementation in the context of transformation into the digital economy. The study explores theoretical positions, approaches, and principles of the government regulation of digitalization of the dairy industry. It also identifies the essence and forms of this regulation. The researchers developed an economic and mathematical model of the relationship between the dairy industry parameters through a multilevel chain of indirect parameter relationship. The researchers also worked out the methodological foundations for modeling the dairy industry using digital technologies. A reverse forecasting technique was developed to estimate the necessary volume of the government support required to achieve dairy industry target indicators at any level of regulation. The model was tested with various scenarios for forecasting the results of the government regulation of the dairy industry in order to achieve the target criteria.

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Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Main trends of government regulation of sectoral digitalization

Glotko¹,

Polyakova²,

Kuznetsova³

et al. 2020

JESI

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“…In multisensor information fusion, many key technologies are involved, such as data association, track filtering, and target recognition. There are still some difficulties to be solved in these fields [5].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Multisensor Cross‐Media Data Mining Method Assisted by Expert System

Shan¹

2023

Journal of Sensors

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The information generated by the multifaceted and multilevel processing of the data of multiple sensors is more meaningful than the information obtained by a single sensor and provides accurate information and decision-making basis for various application systems. How to apply data mining theory to the multisensor cross-media field has become a research hotspot. Through the analysis of multisensor cross-media data, it is of great significance to dig out the important rules, information, or knowledge hidden in it and use it for cross-media retrieval engine. The rule acquisition is the “bottleneck” problem of the expert system. This paper adopts the data mining method based on the rough set to acquire the rules and improves the basic algorithm of attribute reduction. Using the attribute reduction algorithm and the heuristic value reduction algorithm, the calculation is simplified and the reduction efficiency is improved. In the presentation, according to the characteristics of cross-media and the application requirements of expert systems, this paper takes the case representation based on features as the basis and classifies cases according to feature attributes. In case retrieval, according to the hierarchical structure of case features, the entire case database is organized into a multilevel hierarchical index structure. In this paper, a cross-media retrieval engine is constructed from the perspective of classifier design, and the Euclidean distance is used as the similarity matching model of image content. The mutual retrieval of images and audios preliminarily forms the design process of retrieval from one media type to another and establishes a corresponding cross-media index. The experimental results show that the algorithm has better processing effect and higher accuracy than other algorithms. Different k-nearest neighbor values were selected in the experiment, and it reached about 96% in the test environment of libsvm toolbox, which is better than the processing results of LE and LLE algorithms.

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“…However, the closer the subject who has the information from its original source, the higher the value of the information that the person has. This information allows the person to stay in more favorable conditions than competitors (Dumitrescu, 2012;Suryono et al, 2019;Rahman, 2018). Therefore, if the legislator follows the example of the United States by introducing a prohibition of the misuse of insider information for members of legislative bodies.…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Identification of corruption risks in the banking sector of the economy

Antropov¹,

Akhmadeev²,

Voronkova³

et al. 2021

JESI

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Unfortunately, nowadays corruption is one of the main problems of developing countries. High level of corruption offences badly hits the prestige of the country and reduces the level of trust in government. One of the hardest spheres in terms of combating corruption is the banking sector, because the banking system collides with the most complicated forms of corruption. It is the fact that banking assets in monetary terms are close to the country's GDP, which potentially makes the banking sector attractive to corrupt officials. In this regard, the study of the specifics of the occurrence of corruption risks in the banking sector, as well as strategies and approaches to their elimination, requires thorough checks in all its areas of activity. Drawing up an effective strategy will significantly minimize the risks of corruption and achieve more transparent and efficient banking sector, which in the future, of course, will affect the quality of the services provided by the bank. Therefore, the strategy of building an effective banking sector should be a priority for developing countries, because these countries more often face with corruption risks.

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Real-time decision support system for carbon monoxide threat warning using online expert system

Cited by 14 publications

References 28 publications

Main trends of government regulation of sectoral digitalization

Main trends of government regulation of sectoral digitalization

[Retracted] Multisensor Cross‐Media Data Mining Method Assisted by Expert System

Identification of corruption risks in the banking sector of the economy

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